Pandas Profiling Report

Dataset statistics

Number of variables	38
Number of observations	39322
Missing cells	227433
Missing cells (%)	15.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	41.9 MiB
Average record size in memory	1.1 KiB

Variable types

Categorical	19
DateTime	2
Numeric	17

Alerts

`brand` has a high cardinality: 329 distinct values	High cardinality
`model_code` has a high cardinality: 38715 distinct values	High cardinality
`model_label` has a high cardinality: 29558 distinct values	High cardinality
`commercial_label` has a high cardinality: 4772 distinct values	High cardinality
`incorrect_fedas_code` has a high cardinality: 2188 distinct values	High cardinality
`article_main_category` has a high cardinality: 710 distinct values	High cardinality
`article_type` has a high cardinality: 1221 distinct values	High cardinality
`article_detail` has a high cardinality: 4076 distinct values	High cardinality
`comment` has a high cardinality: 134 distinct values	High cardinality
`color_code` has a high cardinality: 4399 distinct values	High cardinality
`color_label` has a high cardinality: 12907 distinct values	High cardinality
`country_of_origin` has a high cardinality: 74 distinct values	High cardinality
`country_of_manufacture` has a high cardinality: 78 distinct values	High cardinality
`embakment_harbor` has a high cardinality: 52 distinct values	High cardinality
`size` has a high cardinality: 812 distinct values	High cardinality
`length` is highly correlated with `width` and 1 other fields	High correlation
`width` is highly correlated with `length` and 1 other fields	High correlation
`height` is highly correlated with `length` and 1 other fields	High correlation
`minimum_multiple_of_order` is highly correlated with `net_weight`	High correlation
`net_weight` is highly correlated with `minimum_multiple_of_order` and 1 other fields	High correlation
`raw_weight` is highly correlated with `net_weight`	High correlation
`correct_fedas_1` is highly correlated with `incorrect_fedas_1`	High correlation
`incorrect_fedas_1` is highly correlated with `correct_fedas_1` and 3 other fields	High correlation
`incorrect_fedas_2` is highly correlated with `incorrect_fedas_1` and 2 other fields	High correlation
`incorrect_fedas_3` is highly correlated with `incorrect_fedas_1` and 2 other fields	High correlation
`incorrect_fedas_4` is highly correlated with `incorrect_fedas_1` and 2 other fields	High correlation
`length` is highly correlated with `width` and 1 other fields	High correlation
`width` is highly correlated with `length`	High correlation
`height` is highly correlated with `length`	High correlation
`net_weight` is highly correlated with `raw_weight`	High correlation
`raw_weight` is highly correlated with `net_weight`	High correlation
`incorrect_fedas_1` is highly correlated with `incorrect_fedas_2` and 1 other fields	High correlation
`incorrect_fedas_2` is highly correlated with `incorrect_fedas_1`	High correlation
`incorrect_fedas_4` is highly correlated with `incorrect_fedas_1`	High correlation
`length` is highly correlated with `width` and 1 other fields	High correlation
`width` is highly correlated with `length` and 1 other fields	High correlation
`height` is highly correlated with `length` and 1 other fields	High correlation
`net_weight` is highly correlated with `raw_weight`	High correlation
`raw_weight` is highly correlated with `net_weight`	High correlation
`correct_fedas_1` is highly correlated with `incorrect_fedas_1`	High correlation
`incorrect_fedas_1` is highly correlated with `correct_fedas_1` and 1 other fields	High correlation
`incorrect_fedas_2` is highly correlated with `incorrect_fedas_1`	High correlation
`embakment_harbor` is highly correlated with `country_of_manufacture` and 3 other fields	High correlation
`inaccurate_gender` is highly correlated with `accurate_gender`	High correlation
`country_of_manufacture` is highly correlated with `embakment_harbor` and 1 other fields	High correlation
`eco_furniture` is highly correlated with `embakment_harbor`	High correlation
`country_of_origin` is highly correlated with `embakment_harbor` and 1 other fields	High correlation
`accurate_gender` is highly correlated with `inaccurate_gender` and 1 other fields	High correlation
`correct_fedas_1` is highly correlated with `embakment_harbor` and 1 other fields	High correlation
`length` is highly correlated with `width` and 3 other fields	High correlation
`width` is highly correlated with `length` and 4 other fields	High correlation
`height` is highly correlated with `length` and 3 other fields	High correlation
`inaccurate_gender` is highly correlated with `country_of_origin` and 6 other fields	High correlation
`country_of_origin` is highly correlated with `width` and 13 other fields	High correlation
`country_of_manufacture` is highly correlated with `width` and 12 other fields	High correlation
`embakment_harbor` is highly correlated with `country_of_origin` and 11 other fields	High correlation
`shipping_date` is highly correlated with `length` and 6 other fields	High correlation
`eco_participation` is highly correlated with `eco_furniture`	High correlation
`eco_furniture` is highly correlated with `eco_participation`	High correlation
`net_weight` is highly correlated with `raw_weight`	High correlation
`raw_weight` is highly correlated with `net_weight`	High correlation
`volume` is highly correlated with `length` and 4 other fields	High correlation
`accurate_gender` is highly correlated with `inaccurate_gender` and 7 other fields	High correlation
`correct_fedas_1` is highly correlated with `inaccurate_gender` and 6 other fields	High correlation
`correct_fedas_2` is highly correlated with `country_of_origin` and 5 other fields	High correlation
`correct_fedas_3` is highly correlated with `country_of_origin` and 6 other fields	High correlation
`correct_fedas_4` is highly correlated with `inaccurate_gender` and 4 other fields	High correlation
`incorrect_fedas_1` is highly correlated with `inaccurate_gender` and 8 other fields	High correlation
`incorrect_fedas_2` is highly correlated with `country_of_origin` and 7 other fields	High correlation
`incorrect_fedas_3` is highly correlated with `country_of_origin` and 7 other fields	High correlation
`incorrect_fedas_4` is highly correlated with `inaccurate_gender` and 8 other fields	High correlation
`commercial_label` has 33084 (84.1%) missing values	Missing
`article_main_category` has 751 (1.9%) missing values	Missing
`article_type` has 920 (2.3%) missing values	Missing
`article_detail` has 9700 (24.7%) missing values	Missing
`comment` has 37770 (96.1%) missing values	Missing
`avalability_start_date` has 14414 (36.7%) missing values	Missing
`avalability_end_date` has 17318 (44.0%) missing values	Missing
`color_code` has 12645 (32.2%) missing values	Missing
`inaccurate_gender` has 19630 (49.9%) missing values	Missing
`country_of_origin` has 14402 (36.6%) missing values	Missing
`country_of_manufacture` has 14402 (36.6%) missing values	Missing
`embakment_harbor` has 36549 (92.9%) missing values	Missing
`shipping_date` has 15834 (40.3%) missing values	Missing
`length` is highly skewed (γ1 = 55.40474886)	Skewed
`width` is highly skewed (γ1 = 88.89368975)	Skewed
`height` is highly skewed (γ1 = 32.8271002)	Skewed
`eco_participation` is highly skewed (γ1 = 22.62168)	Skewed
`minimum_multiple_of_order` is highly skewed (γ1 = 23.04697745)	Skewed
`net_weight` is highly skewed (γ1 = 77.07187952)	Skewed
`raw_weight` is highly skewed (γ1 = 108.8920108)	Skewed
`volume` is highly skewed (γ1 = 34.39569575)	Skewed
`model_code` is uniformly distributed	Uniform
`commercial_label` is uniformly distributed	Uniform
`length` has 38334 (97.5%) zeros	Zeros
`width` has 38235 (97.2%) zeros	Zeros
`height` has 38279 (97.3%) zeros	Zeros
`eco_participation` has 38117 (96.9%) zeros	Zeros
`multiple_of_order` has 7440 (18.9%) zeros	Zeros
`minimum_multiple_of_order` has 17829 (45.3%) zeros	Zeros
`net_weight` has 26860 (68.3%) zeros	Zeros
`raw_weight` has 30149 (76.7%) zeros	Zeros
`volume` has 34170 (86.9%) zeros	Zeros
`correct_fedas_2` has 7602 (19.3%) zeros	Zeros
`correct_fedas_4` has 1309 (3.3%) zeros	Zeros
`incorrect_fedas_2` has 3649 (9.3%) zeros	Zeros
`incorrect_fedas_4` has 987 (2.5%) zeros	Zeros

Reproduction

Analysis started	2022-11-11 11:55:55.555200
Analysis finished	2022-11-11 11:56:28.660920
Duration	33.11 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

brand
Categorical

HIGH CARDINALITY

Distinct	329
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

brand_1	6089
brand_293	1915
brand_383	1737
brand_56	1064
brand_243	1028
Other values (324)	27489

Length

Max length	9
Median length	9
Mean length	8.495371548
Min length	7

Characters and Unicode

Total characters	334055
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27 ?
Unique (%)	0.1%

Sample

1st row	brand_293
2nd row	brand_3
3rd row	brand_265
4th row	brand_1
5th row	brand_12

Common Values

Value	Count	Frequency (%)
brand_1	6089	15.5%
brand_293	1915	4.9%
brand_383	1737	4.4%
brand_56	1064	2.7%
brand_243	1028	2.6%
brand_102	934	2.4%
brand_194	919	2.3%
brand_285	692	1.8%
brand_288	681	1.7%
brand_175	665	1.7%
Other values (319)	23598	60.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
brand_1	6089	15.5%
brand_293	1915	4.9%
brand_383	1737	4.4%
brand_56	1064	2.7%
brand_243	1028	2.6%
brand_102	934	2.4%
brand_194	919	2.3%
brand_285	692	1.8%
brand_288	681	1.7%
brand_175	665	1.7%
Other values (319)	23598	60.0%

Most occurring characters

Value	Count	Frequency (%)
b	39322	11.8%
r	39322	11.8%
a	39322	11.8%
n	39322	11.8%
d	39322	11.8%
_	39322	11.8%
1	19580	5.9%
3	18242	5.5%
2	13777	4.1%
9	7782	2.3%
Other values (6)	38742	11.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	196610	58.9%
Decimal Number	98123	29.4%
Connector Punctuation	39322	11.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	19580	20.0%
3	18242	18.6%
2	13777	14.0%
9	7782	7.9%
8	7686	7.8%
4	7685	7.8%
5	7527	7.7%
7	6126	6.2%
0	4871	5.0%
6	4847	4.9%

Lowercase Letter

Value	Count	Frequency (%)
b	39322	20.0%
r	39322	20.0%
a	39322	20.0%
n	39322	20.0%
d	39322	20.0%

Connector Punctuation

Value	Count	Frequency (%)
_	39322	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196610	58.9%
Common	137445	41.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
_	39322	28.6%
1	19580	14.2%
3	18242	13.3%
2	13777	10.0%
9	7782	5.7%
8	7686	5.6%
4	7685	5.6%
5	7527	5.5%
7	6126	4.5%
0	4871	3.5%

Latin

Value	Count	Frequency (%)
b	39322	20.0%
r	39322	20.0%
a	39322	20.0%
n	39322	20.0%
d	39322	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	334055	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
b	39322	11.8%
r	39322	11.8%
a	39322	11.8%
n	39322	11.8%
d	39322	11.8%
_	39322	11.8%
1	19580	5.9%
3	18242	5.5%
2	13777	4.1%
9	7782	2.3%
Other values (6)	38742	11.6%

model_code
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	38715
Distinct (%)	98.5%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

813271-40	4
1865971	3
0494394	3
813800-40	3
214304	3
Other values (38710)	39306

Length

Max length	21
Median length	18
Mean length	7.689893698
Min length	2

Characters and Unicode

Total characters	302382
Distinct characters	43
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38133 ?
Unique (%)	97.0%

Sample

1st row	S42783
2nd row	R1252
3rd row	OXS917808
4th row	GM5253
5th row	MS338

Common Values

Value	Count	Frequency (%)
813271-40	4	< 0.1%
1865971	3	< 0.1%
0494394	3	< 0.1%
813800-40	3	< 0.1%
214304	3	< 0.1%
813750-40	3	< 0.1%
813721-40	3	< 0.1%
813320-40	3	< 0.1%
1021	3	< 0.1%
813180-40	3	< 0.1%
Other values (38705)	39291	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
int	13	< 0.1%
j	8	< 0.1%
1	5	< 0.1%
813271-40	4	< 0.1%
e	4	< 0.1%
serraline	3	< 0.1%
pro	3	< 0.1%
kt	3	< 0.1%
813380-40	3	< 0.1%
ridge	3	< 0.1%
Other values (38722)	39332	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	45054	14.9%
1	32947	10.9%
2	23988	7.9%
3	20221	6.7%
5	18073	6.0%
6	17491	5.8%
4	16861	5.6%
8	16676	5.5%
7	15812	5.2%
9	14392	4.8%
Other values (33)	80867	26.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	221515	73.3%
Uppercase Letter	75116	24.8%
Dash Punctuation	3752	1.2%
Other Punctuation	1915	0.6%
Space Separator	62	< 0.1%
Connector Punctuation	20	< 0.1%
Lowercase Letter	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	6092	8.1%
A	5128	6.8%
G	4833	6.4%
W	4535	6.0%
E	4053	5.4%
D	3987	5.3%
B	3667	4.9%
M	3626	4.8%
S	3424	4.6%
I	3159	4.2%
Other values (16)	32612	43.4%

Decimal Number

Value	Count	Frequency (%)
0	45054	20.3%
1	32947	14.9%
2	23988	10.8%
3	20221	9.1%
5	18073	8.2%
6	17491	7.9%
4	16861	7.6%
8	16676	7.5%
7	15812	7.1%
9	14392	6.5%

Other Punctuation

Value	Count	Frequency (%)
.	1410	73.6%
/	505	26.4%

Lowercase Letter

Value	Count	Frequency (%)
p	1	50.0%
l	1	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3752	100.0%

Space Separator

Value	Count	Frequency (%)
	62	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	227264	75.2%
Latin	75118	24.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	6092	8.1%
A	5128	6.8%
G	4833	6.4%
W	4535	6.0%
E	4053	5.4%
D	3987	5.3%
B	3667	4.9%
M	3626	4.8%
S	3424	4.6%
I	3159	4.2%
Other values (18)	32614	43.4%

Common

Value	Count	Frequency (%)
0	45054	19.8%
1	32947	14.5%
2	23988	10.6%
3	20221	8.9%
5	18073	8.0%
6	17491	7.7%
4	16861	7.4%
8	16676	7.3%
7	15812	7.0%
9	14392	6.3%
Other values (5)	5749	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	302382	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	45054	14.9%
1	32947	10.9%
2	23988	7.9%
3	20221	6.7%
5	18073	6.0%
6	17491	5.8%
4	16861	5.6%
8	16676	5.5%
7	15812	5.2%
9	14392	4.8%
Other values (33)	80867	26.7%

model_label
Categorical

HIGH CARDINALITY

Distinct	29558
Distinct (%)	75.2%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

MAN JEANS	86
VESTE	77
WOMAN JEANS	64
CREWNECK T-SHIRT	61
CHUCK TAYLOR ALL STAR	47
Other values (29553)	38987

Length

Max length	24518
Median length	26
Mean length	18.81748131
Min length	1

Characters and Unicode

Total characters	739941
Distinct characters	104
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25415 ?
Unique (%)	64.6%

Sample

1st row	FLEXAGON ENERGY TR 3.0 MT
2nd row	TADEN PLUS FUR
3rd row	POCHETTE PORTE TRAVERS PE
4th row	CLUB KNOT TANK
5th row	BONITA DK PNK/BLCK M

Common Values

Value	Count	Frequency (%)
MAN JEANS	86	0.2%
VESTE	77	0.2%
WOMAN JEANS	64	0.2%
CREWNECK T-SHIRT	61	0.2%
CHUCK TAYLOR ALL STAR	47	0.1%
CL LTHR	40	0.1%
TEE	39	0.1%
BIKINI	35	0.1%
REEBOK ROYAL GLIDE	28	0.1%
REEBOK ROYAL GLIDE RPLCLP	28	0.1%
Other values (29548)	38817	98.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
w	2278	1.7%
m	2016	1.5%
tee	1594	1.2%
jacket	892	0.7%
j	789	0.6%
ss	763	0.6%
top	750	0.5%
jr	728	0.5%
2.0	692	0.5%
short	680	0.5%
Other values (18443)	125990	91.8%

Most occurring characters

Value	Count	Frequency (%)
	98108	13.3%
E	61815	8.4%
A	46466	6.3%
T	44884	6.1%
R	41573	5.6%
S	40283	5.4%
O	40012	5.4%
I	36243	4.9%
L	34825	4.7%
N	32549	4.4%
Other values (94)	263183	35.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	591698	80.0%
Space Separator	98135	13.3%
Decimal Number	33941	4.6%
Other Punctuation	10931	1.5%
Dash Punctuation	3051	0.4%
Lowercase Letter	534	0.1%
Math Symbol	461	0.1%
Open Punctuation	322	< 0.1%
Control	309	< 0.1%
Close Punctuation	269	< 0.1%
Other values (4)	290	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	61815	10.4%
A	46466	7.9%
T	44884	7.6%
R	41573	7.0%
S	40283	6.8%
O	40012	6.8%
I	36243	6.1%
L	34825	5.9%
N	32549	5.5%
C	26701	4.5%
Other values (27)	186347	31.5%

Lowercase Letter

Value	Count	Frequency (%)
m	143	26.8%
h	140	26.2%
l	139	26.0%
s	24	4.5%
o	19	3.6%
e	10	1.9%
r	8	1.5%
c	7	1.3%
a	6	1.1%
t	5	0.9%
Other values (14)	33	6.2%

Other Punctuation

Value	Count	Frequency (%)
;	5510	50.4%
.	2177	19.9%
/	1978	18.1%
'	763	7.0%
,	167	1.5%
&	138	1.3%
\	85	0.8%
"	51	0.5%
?	24	0.2%
#	13	0.1%
Other values (3)	25	0.2%

Decimal Number

Value	Count	Frequency (%)
0	8448	24.9%
2	5780	17.0%
1	5394	15.9%
3	4003	11.8%
5	2326	6.9%
4	1802	5.3%
9	1728	5.1%
6	1668	4.9%
7	1495	4.4%
8	1297	3.8%

Control

Value	Count	Frequency (%)
	145	46.9%
	145	46.9%
	11	3.6%
	5	1.6%
	3	1.0%

Math Symbol

Value	Count	Frequency (%)
+	449	97.4%
>	11	2.4%
\|	1	0.2%

Space Separator

Value	Count	Frequency (%)
	98108	> 99.9%
	27	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	295	91.6%
[	27	8.4%

Close Punctuation

Value	Count	Frequency (%)
)	242	90.0%
]	27	10.0%

Other Symbol

Value	Count	Frequency (%)
°	206	91.2%
®	20	8.8%

Dash Punctuation

Value	Count	Frequency (%)
-	3051	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	56	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	6	100.0%

Other Number

Value	Count	Frequency (%)
²	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	592232	80.0%
Common	147709	20.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	61815	10.4%
A	46466	7.8%
T	44884	7.6%
R	41573	7.0%
S	40283	6.8%
O	40012	6.8%
I	36243	6.1%
L	34825	5.9%
N	32549	5.5%
C	26701	4.5%
Other values (51)	186881	31.6%

Common

Value	Count	Frequency (%)
	98108	66.4%
0	8448	5.7%
2	5780	3.9%
;	5510	3.7%
1	5394	3.7%
3	4003	2.7%
-	3051	2.1%
5	2326	1.6%
.	2177	1.5%
/	1978	1.3%
Other values (33)	10934	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	739598	> 99.9%
None	343	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	98108	13.3%
E	61815	8.4%
A	46466	6.3%
T	44884	6.1%
R	41573	5.6%
S	40283	5.4%
O	40012	5.4%
I	36243	4.9%
L	34825	4.7%
N	32549	4.4%
Other values (75)	262840	35.5%

None

Value	Count	Frequency (%)
°	206	60.1%
É	29	8.5%
	27	7.9%
®	20	5.8%
Ã	13	3.8%
	11	3.2%
«	6	1.7%
À	5	1.5%
	5	1.5%
Â	4	1.2%
Other values (9)	17	5.0%

commercial_label
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	4772
Distinct (%)	76.5%
Missing	33084
Missing (%)	84.1%
Memory size	1.4 MiB

TBT_AP_MN TOP	20
GM500 D	15
SLENDER	13
PC574 M	13
PALM BEACH	13
Other values (4767)	6164

Length

Max length	25
Median length	22
Mean length	16.5801539
Min length	1

Characters and Unicode

Total characters	103427
Distinct characters	61
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3926 ?
Unique (%)	62.9%

Sample

1st row	OMEGAS 160 CAPSULES
2nd row	JORDAN LEGEND ANKLE 6PK
3rd row	SHORT DE MUAY THAI VENUM
4th row	FOOT T5 TRAINER FC BARCEL
5th row	PAGAIE KAYAK SYMETRIQUE,

Common Values

Value	Count	Frequency (%)
TBT_AP_MN TOP	20	0.1%
GM500 D	15	< 0.1%
SLENDER	13	< 0.1%
PC574 M	13	< 0.1%
PALM BEACH	13	< 0.1%
CLASH	13	< 0.1%
YV574 M	12	< 0.1%
POLO MANCHES COURTES	12	< 0.1%
TEE	12	< 0.1%
GC574 M	11	< 0.1%
Other values (4762)	6104	15.5%
(Missing)	33084	84.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
icepeak	525	2.9%
de	333	1.8%
	284	1.6%
m	218	1.2%
luhta	199	1.1%
jr	192	1.0%
homme	160	0.9%
d	145	0.8%
tee	135	0.7%
a	131	0.7%
Other values (5137)	15967	87.3%

Most occurring characters

Value	Count	Frequency (%)
	12301	11.9%
E	10053	9.7%
A	7295	7.1%
T	6091	5.9%
S	5457	5.3%
O	5405	5.2%
R	5110	4.9%
I	5099	4.9%
L	4706	4.6%
N	4432	4.3%
Other values (51)	37478	36.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	82662	79.9%
Space Separator	12315	11.9%
Decimal Number	7062	6.8%
Dash Punctuation	617	0.6%
Other Punctuation	562	0.5%
Math Symbol	80	0.1%
Connector Punctuation	60	0.1%
Open Punctuation	28	< 0.1%
Lowercase Letter	13	< 0.1%
Other Symbol	13	< 0.1%
Other values (2)	15	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	10053	12.2%
A	7295	8.8%
T	6091	7.4%
S	5457	6.6%
O	5405	6.5%
R	5110	6.2%
I	5099	6.2%
L	4706	5.7%
N	4432	5.4%
C	4063	4.9%
Other values (19)	24951	30.2%

Decimal Number

Value	Count	Frequency (%)
0	1715	24.3%
3	1096	15.5%
1	1075	15.2%
2	845	12.0%
5	628	8.9%
9	379	5.4%
4	378	5.4%
7	362	5.1%
6	299	4.2%
8	285	4.0%

Other Punctuation

Value	Count	Frequency (%)
/	252	44.8%
.	131	23.3%
,	93	16.5%
'	65	11.6%
&	14	2.5%
"	5	0.9%
%	2	0.4%

Lowercase Letter

Value	Count	Frequency (%)
o	10	76.9%
u	1	7.7%
r	1	7.7%
f	1	7.7%

Space Separator

Value	Count	Frequency (%)
	12301	99.9%
	14	0.1%

Math Symbol

Value	Count	Frequency (%)
+	63	78.8%
>	17	21.2%

Other Symbol

Value	Count	Frequency (%)
°	8	61.5%
®	5	38.5%

Dash Punctuation

Value	Count	Frequency (%)
-	617	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	60	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	28	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	10	100.0%

Control

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	82675	79.9%
Common	20752	20.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	10053	12.2%
A	7295	8.8%
T	6091	7.4%
S	5457	6.6%
O	5405	6.5%
R	5110	6.2%
I	5099	6.2%
L	4706	5.7%
N	4432	5.4%
C	4063	4.9%
Other values (23)	24964	30.2%

Common

Value	Count	Frequency (%)
	12301	59.3%
0	1715	8.3%
3	1096	5.3%
1	1075	5.2%
2	845	4.1%
5	628	3.0%
-	617	3.0%
9	379	1.8%
4	378	1.8%
7	362	1.7%
Other values (18)	1356	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	103391	> 99.9%
None	36	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12301	11.9%
E	10053	9.7%
A	7295	7.1%
T	6091	5.9%
S	5457	5.3%
O	5405	5.2%
R	5110	4.9%
I	5099	4.9%
L	4706	4.6%
N	4432	4.3%
Other values (44)	37442	36.2%

None

Value	Count	Frequency (%)
	14	38.9%
°	8	22.2%
®	5	13.9%
	5	13.9%
É	2	5.6%
À	1	2.8%
È	1	2.8%

incorrect_fedas_code
Categorical

HIGH CARDINALITY

Distinct	2188
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

	10854
275124	467
375311	418
375313	393
278125	307
Other values (2183)	26883

Length

Max length	6
Median length	6
Mean length	4.343827883
Min length	0

Characters and Unicode

Total characters	170808
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	550 ?
Unique (%)	1.4%

Sample

1st row	378011
2nd row
3rd row	175897
4th row	224122
5th row

Common Values

Value	Count	Frequency (%)
	10854	27.6%
275124	467	1.2%
375311	418	1.1%
375313	393	1.0%
278125	307	0.8%
232377	288	0.7%
375312	282	0.7%
275121	258	0.7%
275125	256	0.7%
232904	253	0.6%
Other values (2178)	25546	65.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
275124	467	1.6%
375311	418	1.5%
375313	393	1.4%
278125	307	1.1%
232377	288	1.0%
375312	282	1.0%
275121	258	0.9%
275125	256	0.9%
232904	253	0.9%
375963	243	0.9%
Other values (2177)	25303	88.9%

Most occurring characters

Value	Count	Frequency (%)
2	31425	18.4%
1	23437	13.7%
3	21305	12.5%
7	20212	11.8%
0	17128	10.0%
5	16053	9.4%
4	12109	7.1%
9	10156	5.9%
8	9848	5.8%
6	9135	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	170808	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	31425	18.4%
1	23437	13.7%
3	21305	12.5%
7	20212	11.8%
0	17128	10.0%
5	16053	9.4%
4	12109	7.1%
9	10156	5.9%
8	9848	5.8%
6	9135	5.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	170808	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	31425	18.4%
1	23437	13.7%
3	21305	12.5%
7	20212	11.8%
0	17128	10.0%
5	16053	9.4%
4	12109	7.1%
9	10156	5.9%
8	9848	5.8%
6	9135	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	170808	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	31425	18.4%
1	23437	13.7%
3	21305	12.5%
7	20212	11.8%
0	17128	10.0%
5	16053	9.4%
4	12109	7.1%
9	10156	5.9%
8	9848	5.8%
6	9135	5.3%

article_main_category
Categorical

HIGH CARDINALITY
MISSING

Distinct	710
Distinct (%)	1.8%
Missing	751
Missing (%)	1.9%
Memory size	2.5 MiB

LOISIRS	2855
FOOTBALL	2518
TRAINING	2498
SPORTSTYLE	2310
LOISIR	1770
Other values (705)	26620

Length

Max length	35
Median length	33
Mean length	10.01521869
Min length	2

Characters and Unicode

Total characters	386297
Distinct characters	50
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	145 ?
Unique (%)	0.4%

Sample

1st row	TRAINING
2nd row	GARDEN
3rd row	SAC
4th row	RACKET SPORTS
5th row	TARTAN CHECKS

Common Values

Value	Count	Frequency (%)
LOISIRS	2855	7.3%
FOOTBALL	2518	6.4%
TRAINING	2498	6.4%
SPORTSTYLE	2310	5.9%
LOISIR	1770	4.5%
RUNNING	1263	3.2%
APPAREL	1063	2.7%
OUTDOOR	945	2.4%
MULTISPORT	845	2.1%
COLLECTIVITES	748	1.9%
Other values (700)	21756	55.3%
(Missing)	751	1.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
loisirs	3132	6.1%
football	2563	5.0%
training	2549	4.9%
sports	2384	4.6%
sportstyle	2310	4.5%
loisir	1906	3.7%
textile	1613	3.1%
running	1441	2.8%
apparel	1428	2.8%
outdoor	1388	2.7%
Other values (638)	30792	59.8%

Most occurring characters

Value	Count	Frequency (%)
S	39455	10.2%
I	35023	9.1%
E	34986	9.1%
O	34666	9.0%
T	34137	8.8%
R	32467	8.4%
L	27171	7.0%
A	23171	6.0%
N	20988	5.4%
	13282	3.4%
Other values (40)	90951	23.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	370373	95.9%
Space Separator	13282	3.4%
Other Punctuation	2102	0.5%
Dash Punctuation	371	0.1%
Decimal Number	124	< 0.1%
Math Symbol	26	< 0.1%
Lowercase Letter	7	< 0.1%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	39455	10.7%
I	35023	9.5%
E	34986	9.4%
O	34666	9.4%
T	34137	9.2%
R	32467	8.8%
L	27171	7.3%
A	23171	6.3%
N	20988	5.7%
P	12526	3.4%
Other values (17)	75783	20.5%

Decimal Number

Value	Count	Frequency (%)
1	68	54.8%
2	27	21.8%
3	18	14.5%
8	3	2.4%
6	3	2.4%
5	3	2.4%
4	2	1.6%

Other Punctuation

Value	Count	Frequency (%)
/	1562	74.3%
&	361	17.2%
.	66	3.1%
,	42	2.0%
?	36	1.7%
'	35	1.7%

Lowercase Letter

Value	Count	Frequency (%)
i	2	28.6%
l	2	28.6%
r	1	14.3%
e	1	14.3%
s	1	14.3%

Space Separator

Value	Count	Frequency (%)
	13282	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	371	100.0%

Math Symbol

Value	Count	Frequency (%)
+	26	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	370380	95.9%
Common	15917	4.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	39455	10.7%
I	35023	9.5%
E	34986	9.4%
O	34666	9.4%
T	34137	9.2%
R	32467	8.8%
L	27171	7.3%
A	23171	6.3%
N	20988	5.7%
P	12526	3.4%
Other values (22)	75790	20.5%

Common

Value	Count	Frequency (%)
	13282	83.4%
/	1562	9.8%
-	371	2.3%
&	361	2.3%
1	68	0.4%
.	66	0.4%
,	42	0.3%
?	36	0.2%
'	35	0.2%
2	27	0.2%
Other values (8)	67	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	386261	> 99.9%
None	36	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	39455	10.2%
I	35023	9.1%
E	34986	9.1%
O	34666	9.0%
T	34137	8.8%
R	32467	8.4%
L	27171	7.0%
A	23171	6.0%
N	20988	5.4%
	13282	3.4%
Other values (39)	90915	23.5%

None

Value	Count	Frequency (%)
Ã	36	100.0%

article_type
Categorical

HIGH CARDINALITY
MISSING

Distinct	1221
Distinct (%)	3.2%
Missing	920
Missing (%)	2.3%
Memory size	2.5 MiB

HOMME	3906
FEMME	3470
UNISEXE ADULTE	1471
SHOES - LOW (NON FOOTBALL)	851
MEN	845
Other values (1216)	27859

Length

Max length	34
Median length	31
Mean length	9.292693089
Min length	1

Characters and Unicode

Total characters	356858
Distinct characters	63
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	317 ?
Unique (%)	0.8%

Sample

1st row	HOMME
2nd row	RUBBER BOOTS
3rd row	HOMME
4th row	FEMME
5th row	MEN

Common Values

Value	Count	Frequency (%)
HOMME	3906	9.9%
FEMME	3470	8.8%
UNISEXE ADULTE	1471	3.7%
SHOES - LOW (NON FOOTBALL)	851	2.2%
MEN	845	2.1%
GARCON	764	1.9%
VESTE	721	1.8%
WOMEN	642	1.6%
UNISEXE ENFANT	580	1.5%
UNISEX	572	1.5%
Other values (1211)	24580	62.5%
(Missing)	920	2.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
homme	3915	6.8%
femme	3473	6.0%
unisexe	2262	3.9%
adulte	1481	2.6%
shoes	1275	2.2%
unisex	1067	1.9%
	1028	1.8%
men	1000	1.7%
football	948	1.6%
veste	880	1.5%
Other values (1095)	40290	69.9%

Most occurring characters

Value	Count	Frequency (%)
E	52712	14.8%
S	33070	9.3%
T	26057	7.3%
A	22992	6.4%
O	22781	6.4%
M	22543	6.3%
N	21520	6.0%
	19217	5.4%
R	15557	4.4%
L	14477	4.1%
Other values (53)	105932	29.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	327898	91.9%
Space Separator	19217	5.4%
Dash Punctuation	2450	0.7%
Open Punctuation	2017	0.6%
Close Punctuation	1884	0.5%
Other Punctuation	1770	0.5%
Decimal Number	1523	0.4%
Lowercase Letter	92	< 0.1%
Math Symbol	4	< 0.1%
Modifier Symbol	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	52712	16.1%
S	33070	10.1%
T	26057	7.9%
A	22992	7.0%
O	22781	6.9%
M	22543	6.9%
N	21520	6.6%
R	15557	4.7%
L	14477	4.4%
I	14215	4.3%
Other values (17)	81974	25.0%

Lowercase Letter

Value	Count	Frequency (%)
u	14	15.2%
r	12	13.0%
a	11	12.0%
d	10	10.9%
e	10	10.9%
o	10	10.9%
b	6	6.5%
é	6	6.5%
n	6	6.5%
c	3	3.3%
Other values (4)	4	4.3%

Decimal Number

Value	Count	Frequency (%)
1	639	42.0%
0	309	20.3%
5	257	16.9%
2	118	7.7%
9	91	6.0%
4	43	2.8%
3	39	2.6%
6	20	1.3%
7	5	0.3%
8	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
/	1527	86.3%
&	113	6.4%
'	106	6.0%
,	22	1.2%
.	2	0.1%

Space Separator

Value	Count	Frequency (%)
	19217	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2450	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2017	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1884	100.0%

Math Symbol

Value	Count	Frequency (%)
+	4	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	2	100.0%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	327990	91.9%
Common	28868	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	52712	16.1%
S	33070	10.1%
T	26057	7.9%
A	22992	7.0%
O	22781	6.9%
M	22543	6.9%
N	21520	6.6%
R	15557	4.7%
L	14477	4.4%
I	14215	4.3%
Other values (31)	82066	25.0%

Common

Value	Count	Frequency (%)
	19217	66.6%
-	2450	8.5%
(	2017	7.0%
)	1884	6.5%
/	1527	5.3%
1	639	2.2%
0	309	1.1%
5	257	0.9%
2	118	0.4%
&	113	0.4%
Other values (12)	337	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	356847	> 99.9%
None	11	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	52712	14.8%
S	33070	9.3%
T	26057	7.3%
A	22992	6.4%
O	22781	6.4%
M	22543	6.3%
N	21520	6.0%
	19217	5.4%
R	15557	4.4%
L	14477	4.1%
Other values (49)	105921	29.7%

None

Value	Count	Frequency (%)
é	6	54.5%
Ê	2	18.2%
´	2	18.2%
	1	9.1%

article_detail
Categorical

HIGH CARDINALITY
MISSING

Distinct	4076
Distinct (%)	13.8%
Missing	9700
Missing (%)	24.7%
Memory size	2.2 MiB

09-SHOES (LOW)	1436
ADULT MALE	1125
ADULT FEMALE	950
30-JERSEY	339
ADULT UNISEX	321
Other values (4071)	25451

Length

Max length	35
Median length	29
Mean length	11.53443387
Min length	1

Characters and Unicode

Total characters	341673
Distinct characters	75
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2606 ?
Unique (%)	8.8%

Sample

1st row	09-SHOES (LOW)
2nd row	BOOTS
3rd row	N1FARROW
4th row	21-TANK
5th row	T-SHIRT

Common Values

Value	Count	Frequency (%)
09-SHOES (LOW)	1436	3.7%
ADULT MALE	1125	2.9%
ADULT FEMALE	950	2.4%
30-JERSEY	339	0.9%
ADULT UNISEX	321	0.8%
MANCHE LONGUE	306	0.8%
TEE SHIRT MC	279	0.7%
DENIM PANTS	276	0.7%
44-PANTS (1/1)	266	0.7%
PANTALON	242	0.6%
Other values (4066)	24082	61.2%
(Missing)	9700	24.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
adult	2396	4.4%
low	1695	3.1%
09-shoes	1436	2.6%
male	1352	2.5%
female	1063	1.9%
de	757	1.4%
kids	733	1.3%
short	724	1.3%
unisex	680	1.2%
top	662	1.2%
Other values (3557)	43015	78.9%

Most occurring characters

Value	Count	Frequency (%)
E	35249	10.3%
S	28516	8.3%
T	25151	7.4%
	25121	7.4%
A	24031	7.0%
O	20044	5.9%
L	19072	5.6%
R	16000	4.7%
I	15638	4.6%
N	13097	3.8%
Other values (65)	119754	35.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	286481	83.8%
Space Separator	25124	7.4%
Decimal Number	15849	4.6%
Dash Punctuation	6317	1.8%
Open Punctuation	2223	0.7%
Close Punctuation	2221	0.7%
Other Punctuation	2120	0.6%
Lowercase Letter	1248	0.4%
Math Symbol	63	< 0.1%
Modifier Symbol	17	< 0.1%
Other values (2)	10	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	35249	12.3%
S	28516	10.0%
T	25151	8.8%
A	24031	8.4%
O	20044	7.0%
L	19072	6.7%
R	16000	5.6%
I	15638	5.5%
N	13097	4.6%
C	10597	3.7%
Other values (20)	79086	27.6%

Lowercase Letter

Value	Count	Frequency (%)
o	155	12.4%
a	145	11.6%
s	134	10.7%
l	127	10.2%
p	93	7.5%
r	91	7.3%
e	88	7.1%
d	72	5.8%
y	59	4.7%
b	58	4.6%
Other values (8)	226	18.1%

Decimal Number

Value	Count	Frequency (%)
0	3383	21.3%
1	2646	16.7%
9	1927	12.2%
3	1814	11.4%
4	1811	11.4%
2	1555	9.8%
5	1043	6.6%
7	775	4.9%
6	471	3.0%
8	424	2.7%

Other Punctuation

Value	Count	Frequency (%)
/	1502	70.8%
%	173	8.2%
.	141	6.7%
,	126	5.9%
&	116	5.5%
'	49	2.3%
"	7	0.3%
?	6	0.3%

Space Separator

Value	Count	Frequency (%)
	25121	> 99.9%
	3	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	6317	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2223	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2221	100.0%

Math Symbol

Value	Count	Frequency (%)
+	63	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	17	100.0%

Other Symbol

Value	Count	Frequency (%)
®	9	100.0%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	287729	84.2%
Common	53944	15.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	35249	12.3%
S	28516	9.9%
T	25151	8.7%
A	24031	8.4%
O	20044	7.0%
L	19072	6.6%
R	16000	5.6%
I	15638	5.4%
N	13097	4.6%
C	10597	3.7%
Other values (38)	80334	27.9%

Common

Value	Count	Frequency (%)
	25121	46.6%
-	6317	11.7%
0	3383	6.3%
1	2646	4.9%
(	2223	4.1%
)	2221	4.1%
9	1927	3.6%
3	1814	3.4%
4	1811	3.4%
2	1555	2.9%
Other values (17)	4926	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	341623	> 99.9%
None	50	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	35249	10.3%
S	28516	8.3%
T	25151	7.4%
	25121	7.4%
A	24031	7.0%
O	20044	5.9%
L	19072	5.6%
R	16000	4.7%
I	15638	4.6%
N	13097	3.8%
Other values (57)	119704	35.0%

None

Value	Count	Frequency (%)
´	17	34.0%
É	14	28.0%
®	9	18.0%
	3	6.0%
Ã	3	6.0%
Ê	2	4.0%
Î	1	2.0%
	1	2.0%

comment
Categorical

HIGH CARDINALITY
MISSING

Distinct	134
Distinct (%)	8.6%
Missing	37770
Missing (%)	96.1%
Memory size	1.2 MiB

VETEMENT	413
SWI	131
SNO	79
T-SHIRT	69
MATERIEL RANDONNEE	50
Other values (129)	810

Length

Max length	33
Median length	28
Mean length	7.914948454
Min length	2

Characters and Unicode

Total characters	12284
Distinct characters	61
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	58 ?
Unique (%)	3.7%

Sample

1st row	MATERIEL RANDONNEE
2nd row	SNO
3rd row	MID CUT DETENTE
4th row	JUNIOR
5th row	FERMANT

Common Values

Value	Count	Frequency (%)
VETEMENT	413	1.1%
SWI	131	0.3%
SNO	79	0.2%
T-SHIRT	69	0.2%
MATERIEL RANDONNEE	50	0.1%
SAC A DOS	47	0.1%
FERMANT	47	0.1%
MANCHES COURTES	35	0.1%
CHAUSSURE	34	0.1%
ACCESSOIRES	34	0.1%
Other values (124)	613	1.6%
(Missing)	37770	96.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vetement	413	20.8%
swi	131	6.6%
sno	79	4.0%
t-shirt	76	3.8%
manches	69	3.5%
sac	67	3.4%
materiel	50	2.5%
randonnee	50	2.5%
a	48	2.4%
dos	47	2.4%
Other values (166)	960	48.2%

Most occurring characters

Value	Count	Frequency (%)
E	2206	18.0%
T	1419	11.6%
N	996	8.1%
S	965	7.9%
M	704	5.7%
A	697	5.7%
R	518	4.2%
C	499	4.1%
V	486	4.0%
I	485	3.9%
Other values (51)	3309	26.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	11326	92.2%
Space Separator	438	3.6%
Decimal Number	267	2.2%
Lowercase Letter	126	1.0%
Dash Punctuation	110	0.9%
Other Punctuation	14	0.1%
Math Symbol	1	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	2206	19.5%
T	1419	12.5%
N	996	8.8%
S	965	8.5%
M	704	6.2%
A	697	6.2%
R	518	4.6%
C	499	4.4%
V	486	4.3%
I	485	4.3%
Other values (16)	2351	20.8%

Lowercase Letter

Value	Count	Frequency (%)
r	14	11.1%
i	13	10.3%
t	13	10.3%
e	12	9.5%
u	11	8.7%
a	8	6.3%
h	8	6.3%
n	7	5.6%
c	7	5.6%
p	6	4.8%
Other values (9)	27	21.4%

Decimal Number

Value	Count	Frequency (%)
1	66	24.7%
0	34	12.7%
4	32	12.0%
8	29	10.9%
2	28	10.5%
6	27	10.1%
9	24	9.0%
3	18	6.7%
5	8	3.0%
7	1	0.4%

Space Separator

Value	Count	Frequency (%)
	438	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	110	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	14	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11452	93.2%
Common	832	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	2206	19.3%
T	1419	12.4%
N	996	8.7%
S	965	8.4%
M	704	6.1%
A	697	6.1%
R	518	4.5%
C	499	4.4%
V	486	4.2%
I	485	4.2%
Other values (35)	2477	21.6%

Common

Value	Count	Frequency (%)
	438	52.6%
-	110	13.2%
1	66	7.9%
0	34	4.1%
4	32	3.8%
8	29	3.5%
2	28	3.4%
6	27	3.2%
9	24	2.9%
3	18	2.2%
Other values (6)	26	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	2206	18.0%
T	1419	11.6%
N	996	8.1%
S	965	7.9%
M	704	5.7%
A	697	5.7%
R	518	4.2%
C	499	4.1%
V	486	4.0%
I	485	3.9%
Other values (51)	3309	26.9%

avalability_start_date
Date

MISSING

Distinct	263
Distinct (%)	1.1%
Missing	14414
Missing (%)	36.7%
Memory size	307.3 KiB

Minimum	2000-01-01 00:00:00
Maximum	2021-05-25 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

avalability_end_date
Date

MISSING

Distinct	110
Distinct (%)	0.5%
Missing	17318
Missing (%)	44.0%
Memory size	307.3 KiB

Minimum	2017-05-31 00:00:00
Maximum	2099-01-01 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

length
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	243
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.591936397

Minimum	0
Maximum	10000
Zeros	38334
Zeros (%)	97.5%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	10000
Range	10000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	106.0555133
Coefficient of variation (CV)	18.96579392
Kurtosis	4414.817351
Mean	5.591936397
Median Absolute Deviation (MAD)	0
Skewness	55.40474886
Sum	219886.123
Variance	11247.7719
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38334	97.5%
0.5	72	0.2%
35	51	0.1%
31.5	50	0.1%
48	44	0.1%
34.5	38	0.1%
61	28	0.1%
45	21	0.1%
22	20	0.1%
27	16	< 0.1%
Other values (233)	648	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	38334	97.5%
0.01	4	< 0.1%
0.011	4	< 0.1%
0.154	1	< 0.1%
0.163	1	< 0.1%
0.167	1	< 0.1%
0.2	1	< 0.1%
0.201	1	< 0.1%
0.222	1	< 0.1%
0.226	2	< 0.1%

Value	Count	Frequency (%)
10000	2	< 0.1%
5500	1	< 0.1%
4000	1	< 0.1%
2740	10	< 0.1%
2600	1	< 0.1%
2500	1	< 0.1%
2230	1	< 0.1%
2130	1	< 0.1%
2030	1	< 0.1%
1800	2	< 0.1%

width
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	257
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.538041122

Minimum	0
Maximum	10000
Zeros	38235
Zeros (%)	97.2%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	10000
Range	10000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	68.0986718
Coefficient of variation (CV)	19.24756368
Kurtosis	12023.37956
Mean	3.538041122
Median Absolute Deviation (MAD)	0
Skewness	88.89368975
Sum	139122.853
Variance	4637.429101
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38235	97.2%
0.5	71	0.2%
27	71	0.2%
16.5	58	0.1%
152	44	0.1%
20	37	0.1%
30	36	0.1%
163	33	0.1%
28	22	0.1%
25	18	< 0.1%
Other values (247)	697	1.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	38235	97.2%
0.001	2	< 0.1%
0.002	1	< 0.1%
0.004	2	< 0.1%
0.006	1	< 0.1%
0.008	1	< 0.1%
0.01	10	< 0.1%
0.011	5	< 0.1%
0.012	4	< 0.1%
0.014	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
3000	1	< 0.1%
1800	2	< 0.1%
1520	10	< 0.1%
1220	1	< 0.1%
1160	1	< 0.1%
1050	9	< 0.1%
1010	2	< 0.1%
990	1	< 0.1%
970	5	< 0.1%

height
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	168
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.621937567

Minimum	0
Maximum	2000
Zeros	38279
Zeros (%)	97.3%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	2000
Range	2000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	28.45091296
Coefficient of variation (CV)	17.54131204
Kurtosis	1384.818326
Mean	1.621937567
Median Absolute Deviation (MAD)	0
Skewness	32.8271002
Sum	63777.829
Variance	809.4544484
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38279	97.3%
5	85	0.2%
1	82	0.2%
5.76	71	0.2%
10.5	48	0.1%
62	44	0.1%
2	33	0.1%
1.5	33	0.1%
12	32	0.1%
4	32	0.1%
Other values (158)	583	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	38279	97.3%
0.005	3	< 0.1%
0.006	4	< 0.1%
0.01	4	< 0.1%
0.015	14	< 0.1%
0.02	4	< 0.1%
0.051	1	< 0.1%
0.087	4	< 0.1%
0.1	1	< 0.1%
0.125	2	< 0.1%

Value	Count	Frequency (%)
2000	1	< 0.1%
1330	1	< 0.1%
1130	2	< 0.1%
950	8	< 0.1%
920	1	< 0.1%
860	2	< 0.1%
820	1	< 0.1%
810	1	< 0.1%
800	1	< 0.1%
760	10	< 0.1%

color_code
Categorical

HIGH CARDINALITY
MISSING

Distinct	4399
Distinct (%)	16.5%
Missing	12645
Missing (%)	32.2%
Memory size	1.9 MiB

10776	1756
095A	1021
001	916
010	597
001A	427
Other values (4394)	21960

Length

Max length	15
Median length	10
Mean length	3.611238145
Min length	1

Characters and Unicode

Total characters	96337
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2507 ?
Unique (%)	9.4%

Sample

1st row	AC4H
2nd row	AE2W
3rd row	001A
4th row	A433
5th row	BLA

Common Values

Value	Count	Frequency (%)
10776	1756	4.5%
095A	1021	2.6%
001	916	2.3%
010	597	1.5%
001A	427	1.1%
BDS	405	1.0%
BLA	391	1.0%
000	382	1.0%
A0QM	381	1.0%
01F7	372	0.9%
Other values (4389)	20029	50.9%
(Missing)	12645	32.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
10776	1756	6.6%
095a	1021	3.8%
001	916	3.4%
010	597	2.2%
001a	427	1.6%
bds	405	1.5%
bla	391	1.5%
000	382	1.4%
a0qm	381	1.4%
01f7	372	1.4%
Other values (4389)	20031	75.1%

Most occurring characters

Value	Count	Frequency (%)
0	23238	24.1%
1	11973	12.4%
7	7078	7.3%
A	6083	6.3%
5	4868	5.1%
2	4475	4.6%
6	4351	4.5%
9	4198	4.4%
3	4075	4.2%
4	3263	3.4%
Other values (27)	22735	23.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	70063	72.7%
Uppercase Letter	26272	27.3%
Space Separator	2	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	6083	23.2%
B	3141	12.0%
D	1954	7.4%
K	1188	4.5%
E	1138	4.3%
S	1064	4.0%
L	1029	3.9%
W	1000	3.8%
M	959	3.7%
F	921	3.5%
Other values (16)	7795	29.7%

Decimal Number

Value	Count	Frequency (%)
0	23238	33.2%
1	11973	17.1%
7	7078	10.1%
5	4868	6.9%
2	4475	6.4%
6	4351	6.2%
9	4198	6.0%
3	4075	5.8%
4	3263	4.7%
8	2544	3.6%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	70065	72.7%
Latin	26272	27.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	6083	23.2%
B	3141	12.0%
D	1954	7.4%
K	1188	4.5%
E	1138	4.3%
S	1064	4.0%
L	1029	3.9%
W	1000	3.8%
M	959	3.7%
F	921	3.5%
Other values (16)	7795	29.7%

Common

Value	Count	Frequency (%)
0	23238	33.2%
1	11973	17.1%
7	7078	10.1%
5	4868	6.9%
2	4475	6.4%
6	4351	6.2%
9	4198	6.0%
3	4075	5.8%
4	3263	4.7%
8	2544	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96337	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	23238	24.1%
1	11973	12.4%
7	7078	7.3%
A	6083	6.3%
5	4868	5.1%
2	4475	4.6%
6	4351	4.5%
9	4198	4.4%
3	4075	4.2%
4	3263	3.4%
Other values (27)	22735	23.6%

color_label
Categorical

HIGH CARDINALITY

Distinct	12907
Distinct (%)	32.8%
Missing	14
Missing (%)	< 0.1%
Memory size	2.6 MiB

BLACK	2324
NS	2039
NOIR	693
095A BLACK	446
BLANC	333
Other values (12902)	33473

Length

Max length	35
Median length	27
Mean length	13.50208609
Min length	1

Characters and Unicode

Total characters	530740
Distinct characters	66
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8867 ?
Unique (%)	22.6%

Sample

1st row	AC4H TRUGR7/TRUGR7/FTWWHT
2nd row	NOIR
3rd row	DEEP MARINE
4th row	001A WHITE/BLACK
5th row	DARK PINK-BLACK

Common Values

Value	Count	Frequency (%)
BLACK	2324	5.9%
NS	2039	5.2%
NOIR	693	1.8%
095A BLACK	446	1.1%
BLANC	333	0.8%
095A BLACK/WHITE	307	0.8%
WHITE	292	0.7%
BLA BLACK	265	0.7%
000 ONECOLOR	218	0.6%
0019 BLACK	196	0.5%
Other values (12897)	32195	81.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
black	7596	9.4%
ns	2105	2.6%
white	1814	2.2%
blue	1568	1.9%
noir	1146	1.4%
	1046	1.3%
navy	1036	1.3%
grey	1033	1.3%
095a	1021	1.3%
bleu	665	0.8%
Other values (12864)	61944	76.5%

Most occurring characters

Value	Count	Frequency (%)
	49005	9.2%
A	40237	7.6%
E	35689	6.7%
L	33289	6.3%
R	26216	4.9%
C	26027	4.9%
B	25823	4.9%
I	22365	4.2%
T	21708	4.1%
N	21610	4.1%
Other values (56)	228771	43.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	402923	75.9%
Decimal Number	59722	11.3%
Space Separator	49015	9.2%
Other Punctuation	15687	3.0%
Dash Punctuation	3220	0.6%
Connector Punctuation	74	< 0.1%
Math Symbol	29	< 0.1%
Open Punctuation	29	< 0.1%
Close Punctuation	29	< 0.1%
Lowercase Letter	9	< 0.1%
Other values (2)	3	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	40237	10.0%
E	35689	8.9%
L	33289	8.3%
R	26216	6.5%
C	26027	6.5%
B	25823	6.4%
I	22365	5.6%
T	21708	5.4%
N	21610	5.4%
K	19694	4.9%
Other values (19)	130265	32.3%

Decimal Number

Value	Count	Frequency (%)
0	18549	31.1%
1	9630	16.1%
5	5330	8.9%
9	4654	7.8%
2	4325	7.2%
3	4062	6.8%
7	3965	6.6%
4	3435	5.8%
6	3094	5.2%
8	2678	4.5%

Other Punctuation

Value	Count	Frequency (%)
/	15158	96.6%
.	341	2.2%
,	157	1.0%
&	19	0.1%
:	5	< 0.1%
'	4	< 0.1%
#	1	< 0.1%
*	1	< 0.1%
!	1	< 0.1%

Lowercase Letter

Value	Count	Frequency (%)
p	1	11.1%
h	1	11.1%
a	1	11.1%
l	1	11.1%
t	1	11.1%
r	1	11.1%
e	1	11.1%
y	1	11.1%
s	1	11.1%

Space Separator

Value	Count	Frequency (%)
	49005	> 99.9%
	10	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	3220	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	74	100.0%

Math Symbol

Value	Count	Frequency (%)
+	29	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	29	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	29	100.0%

Currency Symbol

Value	Count	Frequency (%)
£	2	100.0%

Other Symbol

Value	Count	Frequency (%)
©	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	402932	75.9%
Common	127808	24.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	40237	10.0%
E	35689	8.9%
L	33289	8.3%
R	26216	6.5%
C	26027	6.5%
B	25823	6.4%
I	22365	5.6%
T	21708	5.4%
N	21610	5.4%
K	19694	4.9%
Other values (28)	130274	32.3%

Common

Value	Count	Frequency (%)
	49005	38.3%
0	18549	14.5%
/	15158	11.9%
1	9630	7.5%
5	5330	4.2%
9	4654	3.6%
2	4325	3.4%
3	4062	3.2%
7	3965	3.1%
4	3435	2.7%
Other values (18)	9695	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	530677	> 99.9%
None	63	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	49005	9.2%
A	40237	7.6%
E	35689	6.7%
L	33289	6.3%
R	26216	4.9%
C	26027	4.9%
B	25823	4.9%
I	22365	4.2%
T	21708	4.1%
N	21610	4.1%
Other values (50)	228708	43.1%

None

Value	Count	Frequency (%)
Ç	43	68.3%
	10	15.9%
É	6	9.5%
£	2	3.2%
Ã	1	1.6%
©	1	1.6%

inaccurate_gender
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	0.1%
Missing	19630
Missing (%)	49.9%
Memory size	1.7 MiB

HO	6583
FE	5497
UN	3759
GA	1137
UE	1046
Other values (10)	1670

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	39384
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FE
2nd row	FE
3rd row	HO
4th row	HO
5th row	UN

Common Values

Value	Count	Frequency (%)
HO	6583	16.7%
FE	5497	14.0%
UN	3759	9.6%
GA	1137	2.9%
UE	1046	2.7%
UA	823	2.1%
FI	688	1.7%
BG	64	0.2%
UB	33	0.1%
BF	25	0.1%
Other values (5)	37	0.1%
(Missing)	19630	49.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ho	6583	33.4%
fe	5497	27.9%
un	3759	19.1%
ga	1137	5.8%
ue	1046	5.3%
ua	823	4.2%
fi	688	3.5%
bg	64	0.3%
ub	33	0.2%
bf	25	0.1%
Other values (5)	37	0.2%

Most occurring characters

Value	Count	Frequency (%)
H	6583	16.7%
O	6583	16.7%
E	6569	16.7%
F	6210	15.8%
U	5673	14.4%
N	3779	9.6%
A	1960	5.0%
G	1201	3.0%
I	688	1.7%
B	125	0.3%
Other values (2)	13	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	39384	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
H	6583	16.7%
O	6583	16.7%
E	6569	16.7%
F	6210	15.8%
U	5673	14.4%
N	3779	9.6%
A	1960	5.0%
G	1201	3.0%
I	688	1.7%
B	125	0.3%
Other values (2)	13	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39384	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
H	6583	16.7%
O	6583	16.7%
E	6569	16.7%
F	6210	15.8%
U	5673	14.4%
N	3779	9.6%
A	1960	5.0%
G	1201	3.0%
I	688	1.7%
B	125	0.3%
Other values (2)	13	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39384	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	6583	16.7%
O	6583	16.7%
E	6569	16.7%
F	6210	15.8%
U	5673	14.4%
N	3779	9.6%
A	1960	5.0%
G	1201	3.0%
I	688	1.7%
B	125	0.3%
Other values (2)	13	< 0.1%

country_of_origin
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	74
Distinct (%)	0.3%
Missing	14402
Missing (%)	36.6%
Memory size	1.8 MiB

CN	6437
FR	3465
VN	1772
BD	1563
DK	1058
Other values (69)	10625

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	49840
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	CN
2nd row	BD
3rd row	CN
4th row	CN
5th row	NL

Common Values

Value	Count	Frequency (%)
CN	6437	16.4%
FR	3465	8.8%
VN	1772	4.5%
BD	1563	4.0%
DK	1058	2.7%
IN	1022	2.6%
FI	952	2.4%
TR	804	2.0%
KH	796	2.0%
NL	633	1.6%
Other values (64)	6418	16.3%
(Missing)	14402	36.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cn	6437	25.8%
fr	3465	13.9%
vn	1772	7.1%
bd	1563	6.3%
dk	1058	4.2%
in	1022	4.1%
fi	952	3.8%
tr	804	3.2%
kh	796	3.2%
nl	633	2.5%
Other values (64)	6418	25.8%

Most occurring characters

Value	Count	Frequency (%)
N	10310	20.7%
C	6725	13.5%
R	4441	8.9%
F	4417	8.9%
D	3553	7.1%
T	2923	5.9%
I	2795	5.6%
K	2665	5.3%
B	1960	3.9%
V	1791	3.6%
Other values (15)	8260	16.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	49840	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	10310	20.7%
C	6725	13.5%
R	4441	8.9%
F	4417	8.9%
D	3553	7.1%
T	2923	5.9%
I	2795	5.6%
K	2665	5.3%
B	1960	3.9%
V	1791	3.6%
Other values (15)	8260	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49840	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	10310	20.7%
C	6725	13.5%
R	4441	8.9%
F	4417	8.9%
D	3553	7.1%
T	2923	5.9%
I	2795	5.6%
K	2665	5.3%
B	1960	3.9%
V	1791	3.6%
Other values (15)	8260	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49840	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	10310	20.7%
C	6725	13.5%
R	4441	8.9%
F	4417	8.9%
D	3553	7.1%
T	2923	5.9%
I	2795	5.6%
K	2665	5.3%
B	1960	3.9%
V	1791	3.6%
Other values (15)	8260	16.6%

country_of_manufacture
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	78
Distinct (%)	0.3%
Missing	14402
Missing (%)	36.6%
Memory size	1.8 MiB

CN	8632
FR	2283
VN	1913
BD	1868
IN	1157
Other values (73)	9067

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	49840
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	CN
2nd row	BD
3rd row	CN
4th row	CN
5th row	TR

Common Values

Value	Count	Frequency (%)
CN	8632	22.0%
FR	2283	5.8%
VN	1913	4.9%
BD	1868	4.8%
IN	1157	2.9%
TR	1126	2.9%
KH	800	2.0%
DK	767	2.0%
PK	721	1.8%
TW	519	1.3%
Other values (68)	5134	13.1%
(Missing)	14402	36.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cn	8632	34.6%
fr	2283	9.2%
vn	1913	7.7%
bd	1868	7.5%
in	1157	4.6%
tr	1126	4.5%
kh	800	3.2%
dk	767	3.1%
pk	721	2.9%
tw	519	2.1%
Other values (68)	5134	20.6%

Most occurring characters

Value	Count	Frequency (%)
N	12316	24.7%
C	8852	17.8%
R	3583	7.2%
T	3284	6.6%
D	3211	6.4%
K	2749	5.5%
F	2297	4.6%
I	2041	4.1%
B	2019	4.1%
V	1936	3.9%
Other values (15)	7552	15.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	49840	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	12316	24.7%
C	8852	17.8%
R	3583	7.2%
T	3284	6.6%
D	3211	6.4%
K	2749	5.5%
F	2297	4.6%
I	2041	4.1%
B	2019	4.1%
V	1936	3.9%
Other values (15)	7552	15.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49840	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	12316	24.7%
C	8852	17.8%
R	3583	7.2%
T	3284	6.6%
D	3211	6.4%
K	2749	5.5%
F	2297	4.6%
I	2041	4.1%
B	2019	4.1%
V	1936	3.9%
Other values (15)	7552	15.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49840	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	12316	24.7%
C	8852	17.8%
R	3583	7.2%
T	3284	6.6%
D	3211	6.4%
K	2749	5.5%
F	2297	4.6%
I	2041	4.1%
B	2019	4.1%
V	1936	3.9%
Other values (15)	7552	15.2%

embakment_harbor
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	52
Distinct (%)	1.9%
Missing	36549
Missing (%)	92.9%
Memory size	1.3 MiB

GLEIZE	518
NL	431
BANGLADESH	250
CHINE	221
CN	205
Other values (47)	1148

Length

Max length	21
Median length	11
Mean length	5.342589254
Min length	2

Characters and Unicode

Total characters	14815
Distinct characters	35
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.3%

Sample

1st row	BANGLADESH
2nd row	CHINE
3rd row	GLEIZE
4th row	MM
5th row	CHINE

Common Values

Value	Count	Frequency (%)
GLEIZE	518	1.3%
NL	431	1.1%
BANGLADESH	250	0.6%
CHINE	221	0.6%
CN	205	0.5%
CHINA	157	0.4%
ITALIE	103	0.3%
NETHERLANDS	98	0.2%
TURKEY	75	0.2%
FRANCE	69	0.2%
Other values (42)	646	1.6%
(Missing)	36549	92.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
gleize	518	18.5%
nl	431	15.4%
bangladesh	250	8.9%
chine	221	7.9%
cn	205	7.3%
china	157	5.6%
netherlands	148	5.3%
italie	103	3.7%
turkey	75	2.7%
france	69	2.5%
Other values (46)	625	22.3%

Most occurring characters

Value	Count	Frequency (%)
E	2144	14.5%
N	1978	13.4%
I	1480	10.0%
L	1461	9.9%
A	1287	8.7%
G	838	5.7%
H	811	5.5%
C	673	4.5%
Z	520	3.5%
D	478	3.2%
Other values (25)	3145	21.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	14286	96.4%
Lowercase Letter	500	3.4%
Space Separator	29	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	2144	15.0%
N	1978	13.8%
I	1480	10.4%
L	1461	10.2%
A	1287	9.0%
G	838	5.9%
H	811	5.7%
C	673	4.7%
Z	520	3.6%
D	478	3.3%
Other values (15)	2616	18.3%

Lowercase Letter

Value	Count	Frequency (%)
e	100	20.0%
h	50	10.0%
r	50	10.0%
l	50	10.0%
a	50	10.0%
n	50	10.0%
d	50	10.0%
s	50	10.0%
t	50	10.0%

Space Separator

Value	Count	Frequency (%)
	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14786	99.8%
Common	29	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	2144	14.5%
N	1978	13.4%
I	1480	10.0%
L	1461	9.9%
A	1287	8.7%
G	838	5.7%
H	811	5.5%
C	673	4.6%
Z	520	3.5%
D	478	3.2%
Other values (24)	3116	21.1%

Common

Value	Count	Frequency (%)
	29	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14815	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	2144	14.5%
N	1978	13.4%
I	1480	10.0%
L	1461	9.9%
A	1287	8.7%
G	838	5.7%
H	811	5.5%
C	673	4.5%
Z	520	3.5%
D	478	3.2%
Other values (25)	3145	21.2%

shipping_date
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	180
Distinct (%)	0.8%
Missing	15834
Missing (%)	40.3%
Infinite	0
Infinite (%)	0.0%
Mean	20198176.2

Minimum	20170430
Maximum	20210412
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	20170430
5-th percentile	20190801
Q1	20200102
median	20200313
Q3	20200701
95-th percentile	20201015
Maximum	20210412
Range	39982
Interquartile range (IQR)	599

Descriptive statistics

Standard deviation	5816.493126
Coefficient of variation (CV)	0.0002879712044
Kurtosis	2.031064588
Mean	20198176.2
Median Absolute Deviation (MAD)	388
Skewness	-1.17385975
Sum	4.744147625 × 10¹¹
Variance	33831592.29
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20200715	1286	3.3%
20200122	1161	3.0%
20191210	903	2.3%
20200224	842	2.1%
20200415	769	2.0%
20200815	621	1.6%
20200302	618	1.6%
20200701	614	1.6%
20200313	608	1.5%
20181231	518	1.3%
Other values (170)	15548	39.5%
(Missing)	15834	40.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20170430	12	< 0.1%
20180615	72	0.2%
20180701	9	< 0.1%
20180901	507	1.3%
20181231	518	1.3%
20190101	10	< 0.1%
20190516	6	< 0.1%
20190601	1	< 0.1%
20190701	2	< 0.1%
20190801	125	0.3%

Value	Count	Frequency (%)
20210412	2	< 0.1%
20210401	25	0.1%
20210329	50	0.1%
20210301	65	0.2%
20210224	4	< 0.1%
20210201	237	0.6%
20210130	24	0.1%
20210115	174	0.4%
20210111	21	0.1%
20210101	418	1.1%

eco_participation
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.005551599613

Minimum	0
Maximum	3.15
Zeros	38117
Zeros (%)	96.9%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	3.15
Range	3.15
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.06018643961
Coefficient of variation (CV)	10.84127887
Kurtosis	640.8368092
Mean	0.005551599613
Median Absolute Deviation (MAD)	0
Skewness	22.62168
Sum	218.3
Variance	0.003622407513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	38117	96.9%
0.08	719	1.8%
0.17	385	1.0%
1	51	0.1%
1.67	24	0.1%
0.02	9	< 0.1%
0.04	8	< 0.1%
0.06	5	< 0.1%
0.1	3	< 0.1%
3.15	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	38117	96.9%
0.02	9	< 0.1%
0.04	8	< 0.1%
0.06	5	< 0.1%
0.08	719	1.8%
0.1	3	< 0.1%
0.17	385	1.0%
1	51	0.1%
1.67	24	0.1%
3.15	1	< 0.1%

Value	Count	Frequency (%)
3.15	1	< 0.1%
1.67	24	0.1%
1	51	0.1%
0.17	385	1.0%
0.1	3	< 0.1%
0.08	719	1.8%
0.06	5	< 0.1%
0.04	8	< 0.1%
0.02	9	< 0.1%
0	38117	96.9%

eco_furniture
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0.0	39321
3.15	1

Length

Max length	4
Median length	3
Mean length	3.000025431
Min length	3

Characters and Unicode

Total characters	117967
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	39321	> 99.9%
3.15	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	39321	> 99.9%
3.15	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	78642	66.7%
.	39322	33.3%
3	1	< 0.1%
1	1	< 0.1%
5	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	78645	66.7%
Other Punctuation	39322	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	78642	> 99.9%
3	1	< 0.1%
1	1	< 0.1%
5	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	39322	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	117967	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	78642	66.7%
.	39322	33.3%
3	1	< 0.1%
1	1	< 0.1%
5	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	117967	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	78642	66.7%
.	39322	33.3%
3	1	< 0.1%
1	1	< 0.1%
5	1	< 0.1%

multiple_of_order
Real number (ℝ_≥0)

ZEROS

Distinct	72
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.78093688

Minimum	0
Maximum	324
Zeros	7440
Zeros (%)	18.9%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	1
95-th percentile	10
Maximum	324
Range	324
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	9.613947674
Coefficient of variation (CV)	3.457089495
Kurtosis	110.0964599
Mean	2.78093688
Median Absolute Deviation (MAD)	0
Skewness	8.333001584
Sum	109352
Variance	92.42798989
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	27840	70.8%
0	7440	18.9%
10	1153	2.9%
6	472	1.2%
3	430	1.1%
12	262	0.7%
50	215	0.5%
8	189	0.5%
60	148	0.4%
40	132	0.3%
Other values (62)	1041	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7440	18.9%
1	27840	70.8%
2	127	0.3%
3	430	1.1%
4	10	< 0.1%
5	49	0.1%
6	472	1.2%
8	189	0.5%
10	1153	2.9%
11	4	< 0.1%

Value	Count	Frequency (%)
324	1	< 0.1%
262	1	< 0.1%
210	2	< 0.1%
175	1	< 0.1%
162	1	< 0.1%
160	1	< 0.1%
150	1	< 0.1%
144	3	< 0.1%
140	4	< 0.1%
132	1	< 0.1%

minimum_multiple_of_order
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	38
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.42505468

Minimum	0
Maximum	5000
Zeros	17829
Zeros (%)	45.3%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	1
Maximum	5000
Range	5000
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	211.6869363
Coefficient of variation (CV)	20.30559483
Kurtosis	535.7023781
Mean	10.42505468
Median Absolute Deviation (MAD)	1
Skewness	23.04697745
Sum	409934
Variance	44811.35901
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
1	19655	50.0%
0	17829	45.3%
6	556	1.4%
3	379	1.0%
12	321	0.8%
10	175	0.4%
8	140	0.4%
5000	68	0.2%
5	56	0.1%
2	25	0.1%
Other values (28)	118	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	17829	45.3%
1	19655	50.0%
2	25	0.1%
3	379	1.0%
4	15	< 0.1%
5	56	0.1%
6	556	1.4%
7	4	< 0.1%
8	140	0.4%
10	175	0.4%

Value	Count	Frequency (%)
5000	68	0.2%
3000	3	< 0.1%
2500	3	< 0.1%
1500	3	< 0.1%
1000	13	< 0.1%
500	1	< 0.1%
272	1	< 0.1%
250	1	< 0.1%
200	2	< 0.1%
120	1	< 0.1%

net_weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	551
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.0214366

Minimum	0
Maximum	12500
Zeros	26860
Zeros (%)	68.3%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.13
95-th percentile	1
Maximum	12500
Range	12500
Interquartile range (IQR)	0.13

Descriptive statistics

Standard deviation	96.46051026
Coefficient of variation (CV)	19.20974373
Kurtosis	8707.920133
Mean	5.0214366
Median Absolute Deviation (MAD)	0
Skewness	77.07187952
Sum	197452.93
Variance	9304.63004
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	26860	68.3%
0.5	664	1.7%
0.3	618	1.6%
0.35	539	1.4%
0.1	437	1.1%
1	344	0.9%
0.2	343	0.9%
0.01	334	0.8%
0.8	315	0.8%
0.4	277	0.7%
Other values (541)	8591	21.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	26860	68.3%
0.01	334	0.8%
0.02	100	0.3%
0.03	211	0.5%
0.04	226	0.6%
0.05	220	0.6%
0.06	166	0.4%
0.07	185	0.5%
0.08	183	0.5%
0.09	211	0.5%

Value	Count	Frequency (%)
12500	1	< 0.1%
8300	1	< 0.1%
4600	1	< 0.1%
1500	1	< 0.1%
1480	1	< 0.1%
1430	1	< 0.1%
1300	3	< 0.1%
1280	1	< 0.1%
1210	1	< 0.1%
1190	1	< 0.1%

raw_weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	455
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.27072097

Minimum	0
Maximum	14000
Zeros	30149
Zeros (%)	76.7%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0.8
Maximum	14000
Range	14000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	98.86412425
Coefficient of variation (CV)	43.53864941
Kurtosis	13565.35116
Mean	2.27072097
Median Absolute Deviation (MAD)	0
Skewness	108.8920108
Sum	89289.29
Variance	9774.115063
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	30149	76.7%
0.5	793	2.0%
0.15	369	0.9%
1	298	0.8%
0.14	226	0.6%
0.1	213	0.5%
0.2	198	0.5%
0.45	188	0.5%
0.03	186	0.5%
0.3	177	0.5%
Other values (445)	6525	16.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	30149	76.7%
0.01	55	0.1%
0.02	73	0.2%
0.03	186	0.5%
0.04	157	0.4%
0.05	145	0.4%
0.06	118	0.3%
0.07	169	0.4%
0.08	107	0.3%
0.09	139	0.4%

Value	Count	Frequency (%)
14000	1	< 0.1%
10000	1	< 0.1%
7100	1	< 0.1%
1500	1	< 0.1%
1480	1	< 0.1%
1430	1	< 0.1%
1280	1	< 0.1%
1210	1	< 0.1%
1190	1	< 0.1%
1170	3	< 0.1%

volume
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	538
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.545065612

Minimum	0
Maximum	1010
Zeros	34170
Zeros (%)	86.9%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3.6
Maximum	1010
Range	1010
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	22.98586909
Coefficient of variation (CV)	14.87695338
Kurtosis	1326.062656
Mean	1.545065612
Median Absolute Deviation (MAD)	0
Skewness	34.39569575
Sum	60755.07
Variance	528.3501776
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34170	86.9%
3.6	885	2.3%
8.84	389	1.0%
0.3	258	0.7%
1	254	0.6%
0.5	182	0.5%
5.76	174	0.4%
0.35	124	0.3%
72	114	0.3%
96	105	0.3%
Other values (528)	2667	6.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	34170	86.9%
0.01	96	0.2%
0.02	14	< 0.1%
0.03	11	< 0.1%
0.04	5	< 0.1%
0.05	17	< 0.1%
0.06	12	< 0.1%
0.07	6	< 0.1%
0.08	3	< 0.1%
0.09	10	< 0.1%

Value	Count	Frequency (%)
1010	4	< 0.1%
972.16	6	< 0.1%
924.46	1	< 0.1%
862.22	1	< 0.1%
859.63	1	< 0.1%
847.95	3	< 0.1%
644	9	< 0.1%
620	1	< 0.1%
494.83	1	< 0.1%
317.52	1	< 0.1%

size
Categorical

HIGH CARDINALITY

Distinct	812
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

L	7448
2XL	5648
TU	4507
10	1368
36	1125
Other values (807)	19226

Length

Max length	13
Median length	12
Mean length	2.516046997
Min length	1

Characters and Unicode

Total characters	98936
Distinct characters	56
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	288 ?
Unique (%)	0.7%

Sample

1st row	38.5
2nd row	36
3rd row	U
4th row	2XS
5th row	M

Common Values

Value	Count	Frequency (%)
L	7448	18.9%
2XL	5648	14.4%
TU	4507	11.5%
10	1368	3.5%
36	1125	2.9%
3XL	1052	2.7%
OS	883	2.2%
34	823	2.1%
28	794	2.0%
104	600	1.5%
Other values (802)	15074	38.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
l	7654	19.0%
2xl	5648	14.0%
tu	4507	11.2%
10	1403	3.5%
36	1162	2.9%
3xl	1052	2.6%
os	987	2.4%
34	869	2.2%
28	811	2.0%
35	808	2.0%
Other values (721)	15436	38.3%

Most occurring characters

Value	Count	Frequency (%)
L	15405	15.6%
2	11386	11.5%
1	9189	9.3%
3	8372	8.5%
X	7744	7.8%
0	5600	5.7%
U	5027	5.1%
T	4666	4.7%
4	3446	3.5%
5	3319	3.4%
Other values (46)	24782	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48128	48.6%
Uppercase Letter	45419	45.9%
Other Punctuation	2425	2.5%
Space Separator	1450	1.5%
Dash Punctuation	1386	1.4%
Lowercase Letter	84	0.1%
Math Symbol	30	< 0.1%
Other Number	14	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
L	15405	33.9%
X	7744	17.1%
U	5027	11.1%
T	4666	10.3%
S	2925	6.4%
O	2007	4.4%
E	1476	3.2%
N	1228	2.7%
I	983	2.2%
A	856	1.9%
Other values (16)	3102	6.8%

Lowercase Letter

Value	Count	Frequency (%)
m	30	35.7%
c	11	13.1%
x	9	10.7%
i	7	8.3%
e	7	8.3%
z	5	6.0%
n	4	4.8%
s	3	3.6%
o	2	2.4%
r	2	2.4%
Other values (2)	4	4.8%

Decimal Number

Value	Count	Frequency (%)
2	11386	23.7%
1	9189	19.1%
3	8372	17.4%
0	5600	11.6%
4	3446	7.2%
5	3319	6.9%
8	2397	5.0%
6	2349	4.9%
9	1218	2.5%
7	852	1.8%

Other Punctuation

Value	Count	Frequency (%)
/	1340	55.3%
.	1077	44.4%
"	6	0.2%
'	2	0.1%

Space Separator

Value	Count	Frequency (%)
	1450	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1386	100.0%

Math Symbol

Value	Count	Frequency (%)
+	30	100.0%

Other Number

Value	Count	Frequency (%)
½	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	53433	54.0%
Latin	45503	46.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	15405	33.9%
X	7744	17.0%
U	5027	11.0%
T	4666	10.3%
S	2925	6.4%
O	2007	4.4%
E	1476	3.2%
N	1228	2.7%
I	983	2.2%
A	856	1.9%
Other values (28)	3186	7.0%

Common

Value	Count	Frequency (%)
2	11386	21.3%
1	9189	17.2%
3	8372	15.7%
0	5600	10.5%
4	3446	6.4%
5	3319	6.2%
8	2397	4.5%
6	2349	4.4%
	1450	2.7%
-	1386	2.6%
Other values (8)	4539	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98922	> 99.9%
None	14	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
L	15405	15.6%
2	11386	11.5%
1	9189	9.3%
3	8372	8.5%
X	7744	7.8%
0	5600	5.7%
U	5027	5.1%
T	4666	4.7%
4	3446	3.5%
5	3319	3.4%
Other values (45)	24768	25.0%

None

Value	Count	Frequency (%)
½	14	100.0%

accurate_gender
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

HO	14775
FE	10372
UN	4098
GA	4064
UA	2677
Other values (6)	3336

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	78644
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	HO
2nd row	FE
3rd row	UA
4th row	FE
5th row	UA

Common Values

Value	Count	Frequency (%)
HO	14775	37.6%
FE	10372	26.4%
UN	4098	10.4%
GA	4064	10.3%
UA	2677	6.8%
FI	1798	4.6%
UE	744	1.9%
BG	443	1.1%
BF	246	0.6%
ND	75	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ho	14775	37.6%
fe	10372	26.4%
un	4098	10.4%
ga	4064	10.3%
ua	2677	6.8%
fi	1798	4.6%
ue	744	1.9%
bg	443	1.1%
bf	246	0.6%
nd	75	0.2%

Most occurring characters

Value	Count	Frequency (%)
H	14775	18.8%
O	14775	18.8%
F	12416	15.8%
E	11116	14.1%
U	7549	9.6%
A	6741	8.6%
G	4507	5.7%
N	4173	5.3%
I	1798	2.3%
B	719	0.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	78644	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
H	14775	18.8%
O	14775	18.8%
F	12416	15.8%
E	11116	14.1%
U	7549	9.6%
A	6741	8.6%
G	4507	5.7%
N	4173	5.3%
I	1798	2.3%
B	719	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	78644	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
H	14775	18.8%
O	14775	18.8%
F	12416	15.8%
E	11116	14.1%
U	7549	9.6%
A	6741	8.6%
G	4507	5.7%
N	4173	5.3%
I	1798	2.3%
B	719	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	78644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	14775	18.8%
O	14775	18.8%
F	12416	15.8%
E	11116	14.1%
U	7549	9.6%
A	6741	8.6%
G	4507	5.7%
N	4173	5.3%
I	1798	2.3%
B	719	0.9%

correct_fedas_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

2	25246
3	7064
1	7010
7	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	39322
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
2	25246	64.2%
3	7064	18.0%
1	7010	17.8%
7	2	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	25246	64.2%
3	7064	18.0%
1	7010	17.8%
7	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
2	25246	64.2%
3	7064	18.0%
1	7010	17.8%
7	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	39322	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	25246	64.2%
3	7064	18.0%
1	7010	17.8%
7	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	39322	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	25246	64.2%
3	7064	18.0%
1	7010	17.8%
7	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39322	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	25246	64.2%
3	7064	18.0%
1	7010	17.8%
7	2	< 0.1%

correct_fedas_2
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	44
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.42068054

Minimum	0
Maximum	98
Zeros	7602
Zeros (%)	19.3%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	46
Q3	75
95-th percentile	78
Maximum	98
Range	98
Interquartile range (IQR)	74

Descriptive statistics

Standard deviation	31.8987883
Coefficient of variation (CV)	0.7346450564
Kurtosis	-1.631273847
Mean	43.42068054
Median Absolute Deviation (MAD)	29
Skewness	-0.2755388946
Sum	1707388
Variance	1017.532695
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
75	13111	33.3%
0	7602	19.3%
64	3470	8.8%
32	3152	8.0%
1	2594	6.6%
78	2055	5.2%
46	1542	3.9%
15	897	2.3%
16	762	1.9%
24	523	1.3%
Other values (34)	3614	9.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7602	19.3%
1	2594	6.6%
2	45	0.1%
3	156	0.4%
4	157	0.4%
5	14	< 0.1%
8	3	< 0.1%
14	499	1.3%
15	897	2.3%
16	762	1.9%

Value	Count	Frequency (%)
98	11	< 0.1%
90	52	0.1%
88	90	0.2%
84	7	< 0.1%
82	60	0.2%
80	99	0.3%
78	2055	5.2%
75	13111	33.3%
70	2	< 0.1%
69	31	0.1%

correct_fedas_3
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	99
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.98471594

Minimum	0
Maximum	99
Zeros	72
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	12
median	43
Q3	73
95-th percentile	95
Maximum	99
Range	99
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	31.6833359
Coefficient of variation (CV)	0.7043133482
Kurtosis	-1.313591499
Mean	44.98471594
Median Absolute Deviation (MAD)	31
Skewness	0.2360548141
Sum	1768889
Variance	1003.833774
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12	4462	11.3%
95	1819	4.6%
90	1369	3.5%
1	1200	3.1%
62	1163	3.0%
27	1095	2.8%
51	1094	2.8%
43	1011	2.6%
44	965	2.5%
36	929	2.4%
Other values (89)	24215	61.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	72	0.2%
1	1200	3.1%
2	918	2.3%
3	705	1.8%
4	298	0.8%
5	549	1.4%
6	665	1.7%
7	471	1.2%
8	234	0.6%
9	77	0.2%

Value	Count	Frequency (%)
99	714	1.8%
98	260	0.7%
97	13	< 0.1%
96	502	1.3%
95	1819	4.6%
94	248	0.6%
93	235	0.6%
92	264	0.7%
91	212	0.5%
90	1369	3.5%

correct_fedas_4
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.599842327

Minimum	0
Maximum	9
Zeros	1309
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	307.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	7
95-th percentile	9
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.691454749
Coefficient of variation (CV)	0.5851189143
Kurtosis	-1.265306425
Mean	4.599842327
Median Absolute Deviation (MAD)	3
Skewness	0.002689232808
Sum	180875
Variance	7.243928665
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	6360	16.2%
1	5807	14.8%
4	5569	14.2%
2	4388	11.2%
8	4153	10.6%
5	3673	9.3%
3	2884	7.3%
9	2727	6.9%
6	2452	6.2%
0	1309	3.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1309	3.3%
1	5807	14.8%
2	4388	11.2%
3	2884	7.3%
4	5569	14.2%
5	3673	9.3%
6	2452	6.2%
7	6360	16.2%
8	4153	10.6%
9	2727	6.9%

Value	Count	Frequency (%)
9	2727	6.9%
8	4153	10.6%
7	6360	16.2%
6	2452	6.2%
5	3673	9.3%
4	5569	14.2%
3	2884	7.3%
2	4388	11.2%
1	5807	14.8%
0	1309	3.3%

incorrect_fedas_1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.217410101

Minimum	-1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	10854
Negative (%)	27.6%
Memory size	307.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	2
Q3	2
95-th percentile	3
Maximum	7
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.488598113
Coefficient of variation (CV)	1.222758142
Kurtosis	-0.8573205619
Mean	1.217410101
Median Absolute Deviation (MAD)	1
Skewness	-0.451797563
Sum	47871
Variance	2.215924342
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	17161	43.6%
-1	10854	27.6%
3	6183	15.7%
1	4977	12.7%
6	93	0.2%
5	28	0.1%
7	25	0.1%
4	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	10854	27.6%
1	4977	12.7%
2	17161	43.6%
3	6183	15.7%
4	1	< 0.1%
5	28	0.1%
6	93	0.2%
7	25	0.1%

Value	Count	Frequency (%)
7	25	0.1%
6	93	0.2%
5	28	0.1%
4	1	< 0.1%
3	6183	15.7%
2	17161	43.6%
1	4977	12.7%
-1	10854	27.6%

incorrect_fedas_2
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	52
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.65810488

Minimum	-1
Maximum	98
Zeros	3649
Zeros (%)	9.3%
Negative	10854
Negative (%)	27.6%
Memory size	307.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	32
Q3	75
95-th percentile	78
Maximum	98
Range	99
Interquartile range (IQR)	76

Descriptive statistics

Standard deviation	33.5094127
Coefficient of variation (CV)	0.9955822772
Kurtosis	-1.694404739
Mean	33.65810488
Median Absolute Deviation (MAD)	33
Skewness	0.2307684161
Sum	1323504
Variance	1122.88074
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	10854	27.6%
75	8201	20.9%
0	3649	9.3%
78	3508	8.9%
32	3112	7.9%
64	2057	5.2%
1	1268	3.2%
46	1046	2.7%
15	878	2.2%
24	737	1.9%
Other values (42)	4012	10.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	10854	27.6%
0	3649	9.3%
1	1268	3.2%
2	81	0.2%
3	141	0.4%
4	373	0.9%
5	14	< 0.1%
8	5	< 0.1%
14	487	1.2%
15	878	2.2%

Value	Count	Frequency (%)
98	9	< 0.1%
90	3	< 0.1%
88	157	0.4%
87	15	< 0.1%
86	13	< 0.1%
84	7	< 0.1%
82	32	0.1%
81	6	< 0.1%
80	100	0.3%
78	3508	8.9%

incorrect_fedas_3
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct	100
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.95239306

Minimum	-1
Maximum	99
Zeros	67
Zeros (%)	0.2%
Negative	10854
Negative (%)	27.6%
Memory size	307.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	22
Q3	51
95-th percentile	96
Maximum	99
Range	100
Interquartile range (IQR)	52

Descriptive statistics

Standard deviation	33.31714526
Coefficient of variation (CV)	1.076399656
Kurtosis	-0.6911563711
Mean	30.95239306
Median Absolute Deviation (MAD)	23
Skewness	0.7984227528
Sum	1217110
Variance	1110.032168
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	10854	27.6%
12	2936	7.5%
31	1605	4.1%
90	1198	3.0%
37	1182	3.0%
1	1174	3.0%
27	1066	2.7%
29	1012	2.6%
96	984	2.5%
99	798	2.0%
Other values (90)	16513	42.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	10854	27.6%
0	67	0.2%
1	1174	3.0%
2	136	0.3%
3	369	0.9%
4	204	0.5%
5	360	0.9%
6	754	1.9%
7	248	0.6%
8	94	0.2%

Value	Count	Frequency (%)
99	798	2.0%
98	672	1.7%
97	20	0.1%
96	984	2.5%
95	235	0.6%
94	291	0.7%
93	193	0.5%
92	179	0.5%
91	260	0.7%
90	1198	3.0%

incorrect_fedas_4
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.789812319

Minimum	-1
Maximum	9
Zeros	987
Zeros (%)	2.5%
Negative	10854
Negative (%)	27.6%
Memory size	307.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	2
Q3	6
95-th percentile	9
Maximum	9
Range	10
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.304574955
Coefficient of variation (CV)	1.184515149
Kurtosis	-1.155268062
Mean	2.789812319
Median Absolute Deviation (MAD)	3
Skewness	0.3953028627
Sum	109701
Variance	10.92021563
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
-1	10854	27.6%
1	5556	14.1%
7	3888	9.9%
4	3659	9.3%
2	3365	8.6%
3	2841	7.2%
8	2433	6.2%
5	2172	5.5%
9	2056	5.2%
6	1511	3.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	10854	27.6%
0	987	2.5%
1	5556	14.1%
2	3365	8.6%
3	2841	7.2%
4	3659	9.3%
5	2172	5.5%
6	1511	3.8%
7	3888	9.9%
8	2433	6.2%

Value	Count	Frequency (%)
9	2056	5.2%
8	2433	6.2%
7	3888	9.9%
6	1511	3.8%
5	2172	5.5%
4	3659	9.3%
3	2841	7.2%
2	3365	8.6%
1	5556	14.1%
0	987	2.5%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	brand	model_code	model_label	commercial_label	incorrect_fedas_code	article_main_category	article_type	article_detail	comment	avalability_start_date	avalability_end_date	color_code	color_label	inaccurate_gender	country_of_origin	country_of_manufacture	embakment_harbor	shipping_date	multiple_of_order	minimum_multiple_of_order	net_weight	raw_weight	size	accurate_gender	correct_fedas_1	correct_fedas_2	correct_fedas_3	correct_fedas_4	incorrect_fedas_1	incorrect_fedas_2	incorrect_fedas_3	incorrect_fedas_4
0	brand_293	S42783	FLEXAGON ENERGY TR 3.0 MT	NaN	378011	TRAINING	HOMME	09-SHOES (LOW)	NaN	2020-12-01	2021-05-31	AC4H	AC4H TRUGR7/TRUGR7/FTWWHT	NaN	NaN	NaN	NaN	NaN	1	0	0.0	0.0	38.5	HO	3	78	10	1	3	78	1	1
1	brand_3	R1252	TADEN PLUS FUR	NaN		GARDEN	RUBBER BOOTS	BOOTS	NaN	2020-01-01	2020-12-31	NaN	NOIR	FE	CN	CN	NaN	20200715.0	1	1	0.0	0.0	36	FE	3	64	30	8	-1	-1	-1	-1
2	brand_265	OXS917808	POCHETTE PORTE TRAVERS PE	NaN	175897	SAC	HOMME	N1FARROW	MATERIEL RANDONNEE	2021-01-01	2021-06-30	AE2W	DEEP MARINE	NaN	NaN	NaN	NaN	NaN	0	0	0.0	0.0	U	UA	1	75	89	0	1	75	89	7
3	brand_1	GM5253	CLUB KNOT TANK	NaN	224122	RACKET SPORTS	FEMME	21-TANK	NaN	2020-12-01	2021-05-31	001A	001A WHITE/BLACK	NaN	NaN	NaN	NaN	NaN	1	0	0.0	0.0	2XS	FE	2	24	11	8	2	24	12	2
4	brand_12	MS338	BONITA DK PNK/BLCK M	NaN		NaN	NaN	NaN	SNO	2020-01-01	2020-12-31	NaN	DARK PINK-BLACK	NaN	NaN	NaN	NaN	NaN	6	0	0.0	0.0	M	UA	1	15	94	4	-1	-1	-1	-1
5	brand_113	687628	TALASI AOP DROPPED SHOULDER TEE	NaN		TARTAN CHECKS	MEN	T-SHIRT	NaN	NaT	NaT	A433	A433 BLACK TARTAN ALLOVER	NaN	BD	BD	BANGLADESH	NaN	0	0	0.0	0.0	2XL	HO	2	0	12	4	-1	-1	-1	-1
6	brand_139	PW7381P0302	FLAT TOP ZIP HOLDALL	NaN	175834	PERIPHERAL	PERIPHERAL MISC	HOLDALL	NaN	NaT	NaT	BLA	BLACK	FE	CN	CN	NaN	20191206.0	1	1	0.0	0.0	TU	UN	1	75	85	0	1	75	83	4
7	brand_1	FU9652	STAN SMITH W	NaN	375962	SPORTSTYLE	FEMME	09-SHOES (LOW)	NaN	2020-11-01	2020-11-30	A0QM	A0QM CBLACK/OWHITE/FTWWHT	NaN	NaN	NaN	NaN	NaN	1	0	0.0	0.0	35.5	FE	3	75	2	2	3	75	96	2
8	brand_303	ARGL100287	RG SLIPPY II G	NaN	315903	LOISIRS	FILLE	SANDALE	NaN	2021-02-01	NaT	BL0	BL0 BL0-BLACK	NaN	CN	CN	CHINE	20210201.0	0	0	0.0	0.0	20	FI	3	15	93	3	3	15	90	3
9	brand_241	11421859	TEAM LOGO PO HOODY SADPAD BLEU	NaN	275297	TEXTILE HOMME	SWEAT	SWEAT CAPUCHE HOMME	NaN	NaT	NaT	410	BLEU	HO	NL	TR	NaN	20200224.0	1	6	0.5	0.5	3XL	UN	1	37	79	1	2	75	29	7

Last rows

	brand	model_code	model_label	commercial_label	incorrect_fedas_code	article_main_category	article_type	article_detail	comment	avalability_start_date	avalability_end_date	color_code	color_label	inaccurate_gender	country_of_origin	country_of_manufacture	embakment_harbor	shipping_date	multiple_of_order	minimum_multiple_of_order	net_weight	raw_weight	volume	size	accurate_gender	correct_fedas_1	correct_fedas_2	correct_fedas_3	correct_fedas_4	incorrect_fedas_1	incorrect_fedas_2	incorrect_fedas_3	incorrect_fedas_4
39312	brand_77	M9621C	CHUCK TAYLOR ALL STAR	NaN	375954	CHAUSSURE	BASKET	SPORTSWEAR	NaN	2021-01-01	NaT	600	600 RED	HO	BE	ID	NaN	20200503.0	6	12	0.00	0.00	0.00	35	HO	3	75	85	1	3	75	95	4
39313	brand_182	KI0306	SAC ISOTHERME	SAC ISOTHERME		COLLECTIVITES	SAC	NaN	NaN	NaT	NaT	37738	37738 37738 LIGHT GREY	UN	CN	CN	NaN	20200415.0	1	1	0.30	0.33	3.14	TU	UN	1	75	83	0	-1	-1	-1	-1
39314	brand_272	PHMO99006CHR4	MOUSTIQUAIRE BANGLA	NaN	100311	COSMETIQUE	MOUSTIQUAIRE 2 PLACES	FORME CUBIQUE	NaN	NaT	NaT	NaN	NS	UN	FR	FR	NaN	20200102.0	1	1	0.00	0.00	0.00	TU	UN	1	67	99	0	1	0	31	1
39315	brand_383	DW0DW09475	SYLVIA HR SPR SKNY ANKLE LNMBS	NaN	275478	APPAREL	DENIM PANTS	DENIM PANTS	NaN	NaT	NaT	1A5	1A5 LANE MB STR	FE	TN	TN	NaN	20200630.0	1	1	0.70	0.00	0.00	2824	FE	2	75	44	2	2	75	47	8
39316	brand_389	202-5	CARTON D ARBITRE LOT DE 5	NaN	132994	FOOT	UNISEXE ADULTE	EQUIPEMENT ARBITRE	NaN	NaT	NaT	NaN	BLANC	NaN	CN	CN	GLEIZE	20181231.0	0	0	0.00	0.00	0.00	TU	UN	1	31	18	0	1	32	99	4
39317	brand_152	57502669I	ICEPEAK BAUTZEN	ICEPEAK BAUTZEN		OUTDOOR ADVENTURE	SHORT	NaN	NaN	2020-06-01	2020-09-13	290	290 ANTHRACITE	HO	FI	CN	NaN	20200608.0	1	1	0.13	0.15	0.00	46	HO	2	64	70	1	-1	-1	-1	-1
39318	brand_329	CSECURUN12	SEMELLES RUN CUSTOM	NaN	100981	RUNNING	UNISEX	SEMELLE	NaN	2019-02-01	2019-12-31	NaN	NS	NaN	MA	MA	NaN	20190901.0	0	0	0.00	0.00	0.00	L	UA	1	46	98	1	1	0	98	1
39319	brand_17	2032B756	KATAKANA GRAPHIC TEE	NaN	278135	TRAINING	FEMME	KATAKANA GRAPHIC T	NaN	2021-01-15	2037-12-31	002	002 PERFORMANCE BLACK/BRILLIANT WH	NaN	NaN	NaN	NaN	NaN	1	0	0.00	0.00	0.00	L	FE	2	0	12	5	2	78	13	5
39320	brand_1	FM9969	ESSENTIAL TEE	NaN	275124	SPORTSTYLE	HOMME	27-T-SHIRT (SHORT SLEEVE)	NaN	2020-05-01	2020-11-30	095A	095A BLACK	NaN	NaN	NaN	NaN	NaN	1	0	0.00	0.00	0.00	L	HO	2	0	12	4	2	75	12	4
39321	brand_150	208997	DEUCE COURT CANVAS	NaN	375961	LOISIR	CHAUSSURE	BASSE	NaN	2020-07-01	2020-12-31	2001	BLACK	HO	CN	CN	NaN	20191126.0	1	1	0.90	0.00	0.00	36	HO	3	75	95	7	3	75	96	1

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Other Punctuation

Lowercase Letter

Dash Punctuation

Space Separator

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Decimal Number

Control

Math Symbol

Space Separator

Open Punctuation

Close Punctuation

Other Symbol

Dash Punctuation

Connector Punctuation

Initial Punctuation

Other Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Other Punctuation

Lowercase Letter

Space Separator

Math Symbol

Other Symbol

Dash Punctuation

Connector Punctuation

Open Punctuation

Close Punctuation

Control